Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman

This thesis presents Bees Algorithm (BA) technique to seek the optimum size of Flexible AC Transmission System (FACTS) device which is the Thyristor Controlled Series Compensator (TCSC) in a power transmission network. Fast Voltage Stability Index (FVSI) is used to designate the suitable line locati...

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Main Author: Abdul Rahman, Nurshuhaida
Format: Thesis
Language:English
Published: 2011
Online Access:https://ir.uitm.edu.my/id/eprint/84558/1/84558.pdf
https://ir.uitm.edu.my/id/eprint/84558/
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spelling my.uitm.ir.845582024-03-20T16:17:27Z https://ir.uitm.edu.my/id/eprint/84558/ Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman Abdul Rahman, Nurshuhaida This thesis presents Bees Algorithm (BA) technique to seek the optimum size of Flexible AC Transmission System (FACTS) device which is the Thyristor Controlled Series Compensator (TCSC) in a power transmission network. Fast Voltage Stability Index (FVSI) is used to designate the suitable line location of TCSC installation. Using these methods, the location and size of TCSC are optimized simultaneously and can be used to minimize loss in power transmission network. IEEE 26-bus Reliability Test System (RTS) will be use to investigate the effectiveness of the device. This research varies the loading conditions of the IEEE 26-bus system. 2011 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84558/1/84558.pdf Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman. (2011) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This thesis presents Bees Algorithm (BA) technique to seek the optimum size of Flexible AC Transmission System (FACTS) device which is the Thyristor Controlled Series Compensator (TCSC) in a power transmission network. Fast Voltage Stability Index (FVSI) is used to designate the suitable line location of TCSC installation. Using these methods, the location and size of TCSC are optimized simultaneously and can be used to minimize loss in power transmission network. IEEE 26-bus Reliability Test System (RTS) will be use to investigate the effectiveness of the device. This research varies the loading conditions of the IEEE 26-bus system.
format Thesis
author Abdul Rahman, Nurshuhaida
spellingShingle Abdul Rahman, Nurshuhaida
Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
author_facet Abdul Rahman, Nurshuhaida
author_sort Abdul Rahman, Nurshuhaida
title Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
title_short Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
title_full Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
title_fullStr Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
title_full_unstemmed Analysis of thyristor controlled series compensator in power transmission network by using Bees Algorithm technique / Nurshuhaida Abdul Rahman
title_sort analysis of thyristor controlled series compensator in power transmission network by using bees algorithm technique / nurshuhaida abdul rahman
publishDate 2011
url https://ir.uitm.edu.my/id/eprint/84558/1/84558.pdf
https://ir.uitm.edu.my/id/eprint/84558/
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score 13.214268